【摘要】 作为国产卫星遥感数据,CBERS—CCD的定量化研究和应用已受到我国学者高度重视,将其与汶川地震灾区恢复重建工作相结合更具实践价值。以四川省紫坪铺库区为例,建立了简化的大气校正模型,并采用改进的基于图像估计参数的方法,快速完成CBERS02B—CCD数据大气校正。结果证实,该模型方法能够消除大气影响,增强图像信息,并能满足一般遥感定量研究与应用的需要,具有较强的实用性和可推广性。更多还原

【Abstract】 As the remote sensing data collected with Chinese satellite,CBERS—CCD data and its quantitative research and application attracted heavy attentions from many scholars,especially for the restoration and reconstruction of the areas experienced the Wenchuan earthquake disaster.This research chose Sichuan Zipingpu Reservoir area as the study site,and built a new straightforward model,which used an image-based improving method and the general multiple-iterative method to estimate the required parameters,such as atmospheric path radiance,up and down transmittance,and total optical depth,etc.A few detailed comparisons were also conducted in terms of visual quality,statistical characteristics and NDVI changes of the images before and after atmospheric correction.With this developed model,the atmospheric effects of CBERS—CCD data could be eliminated and the image information also has been enhanced.A conclusion can be drawn that this image-based atmospheric correction model is highly applicable and economically effective.更多还原